Is currentlyworking on aprojectinvolving cross-lingual transferlearningHas traveledinternationallyto attend thisconferenceHascontributedto an open-source AIprojectHas used anLLM tosummarizeresearchpapersHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicCanrecommenda good AI ortech relatedpodcastHas presenteda paper onnaturallanguagegenerationHasattended anICMLconferencebeforeHas used agenerative AImodel for anon-academicpurposeKnows atleast threeprogramminglanguagesIs optimisticabout thefuture ofhuman-AIcollaborationHas experiencewith low-resourcelanguages inNLPHasparticipated ina hackathonfocused on AIor LLMsHasexperiencewith fine-tuning a pre-trained LLMCan explain thedifferencebetween causaland maskedlanguagemodelsHas collaboratedon a researchpaper withsomeone from adifferent continentHaspublishedresearch onmultilingualLLMsHas apreferred AIresearch toolthey canrecommendIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearCan namethreedifferent LLMarchitecturesIs familiarwith theconcept ofpromptengineeringIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas traveledinternationallyto attend thisconferenceHascontributedto an open-source AIprojectHas used anLLM tosummarizeresearchpapersHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicCanrecommenda good AI ortech relatedpodcastHas presenteda paper onnaturallanguagegenerationHasattended anICMLconferencebeforeHas used agenerative AImodel for anon-academicpurposeKnows atleast threeprogramminglanguagesIs optimisticabout thefuture ofhuman-AIcollaborationHas experiencewith low-resourcelanguages inNLPHasparticipated ina hackathonfocused on AIor LLMsHasexperiencewith fine-tuning a pre-trained LLMCan explain thedifferencebetween causaland maskedlanguagemodelsHas collaboratedon a researchpaper withsomeone from adifferent continentHaspublishedresearch onmultilingualLLMsHas apreferred AIresearch toolthey canrecommendIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearCan namethreedifferent LLMarchitecturesIs familiarwith theconcept ofpromptengineering

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Is currently working on a project involving cross-lingual transfer learning
  2. Has traveled internationally to attend this conference
  3. Has contributed to an open-source AI project
  4. Has used an LLM to summarize research papers
  5. Has successfully debugged a complex LLM
  6. Has used a generative AI model to create art or music
  7. Can recommend a good AI or tech related podcast
  8. Has presented a paper on natural language generation
  9. Has attended an ICML conference before
  10. Has used a generative AI model for a non-academic purpose
  11. Knows at least three programming languages
  12. Is optimistic about the future of human-AI collaboration
  13. Has experience with low-resource languages in NLP
  14. Has participated in a hackathon focused on AI or LLMs
  15. Has experience with fine-tuning a pre-trained LLM
  16. Can explain the difference between causal and masked language models
  17. Has collaborated on a research paper with someone from a different continent
  18. Has published research on multilingual LLMs
  19. Has a preferred AI research tool they can recommend
  20. Is excited about the potential of LLMs in education
  21. Is interested in the ethical implications of generative AI
  22. Has learned a new language in the last year
  23. Can name three different LLM architectures
  24. Is familiar with the concept of prompt engineering